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Leibniz-Institut für Astrophysik Potsdam (AIP) | 2 months ago
, with important application to protoplanetary discs and planets. Candidates with a thorough background in Astrophysics, Physics, Computational Methods and Neural Networks that have very good to
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Position Description The Tsung-Dao Lee Institute (TDLI) ( https://tdli.sjtu.edu.cn ) and Department of Astronomy ( https://astro.sjtu.edu.cn/en/ ) of Shanghai Jiao Tong University invite applications
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computational, experimental, observational, and theoretical approaches. Existing research programs at KIPAC span many areas of astrophysics and cosmology and include studies of dark energy and cosmic dynamics
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physics in astrophysical systems ranging in scales from planets to the Universe. Please see https://www.simonsfoundation.org/flatiron/center-for-computational-astrophysics/ for a full description of
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-impact research in computational imaging and AI, contribute to widely used open-source software, collaborate with leading researchers in physics and natural history, and publish your work while helping
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are looking for candidates within the field(s) of physics, applied mathematics, computational biology or similar. The successful candidate will have excellent skills in theoretical physics, in
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develop a physics-informed digital-twinning approach to better characterize these dynamics and estimate relevant electrical and control parameters from transient voltage and current data. Your tasks will
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Job Description If you are seeking to establish your career as a physicist working with polar space physics and ionospheric electrodynamics, this PhD project offers the opportunity to develop new
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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering